The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Design of pressure-driven microfluidic networks using electric circuit analogy
Abstract
This article reviews the application of electric circuit methods for the analysis of pressure-driven microfluidic networks with an emphasis on concentration- and flow-dependent systems. The application of circuit methods to microfluidics is based on the analogous behaviour of hydraulic and electric circuits with correlations of pressure to voltage, volumetric flow rate to current, and hydraulic to electric resistance. Circuit analysis enables rapid predictions of pressure-driven laminar flow in microchannels and is very useful for designing complex microfluidic networks in advance of fabrication. This article provides a comprehensive overview of the physics of pressure-driven laminar flow, the formal analogy between electric and hydraulic circuits, applications of circuit theory to microfluidic network-based devices, recent development and applications of concentration- and flow-dependent microfluidic networks, and promising future applications. The lab-on-a-chip (LOC) and microfluidics community will gain insightful ideas and practical design strategies for developing unique microfluidic network-based devices to address a broad range of biological, chemical, pharmaceutical, and other scientific and technical challenges.
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Citations
Cites
The origins and the future of microfluidics
Whitesides, G. M. (2006) · Nature · doi:10.1038/nature05058 · Cited by 9,687
Biological applications of microfluidic gradient devices
Kim, S., Kim, H. J., & Jeon, N. L. (2010) · Integrative Biology · doi:10.1039/c0ib00055h · Cited by 366
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Randall, G. C., & Doyle, P. S. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0503287102 · Cited by 220
In vitro analysis of a hepatic device with intrinsic microvascular-based channels
Carraro, A., Hsu, W.-M., Kulig, K. M., Cheung, W. S., Miller, M. L., Weinberg, E. J., Swart, E. F., Kaazempur-Mofrad, M., Borenstein, J. T., Vacanti, J. P., et al. (2008) · Biomedical Microdevices · doi:10.1007/s10544-008-9194-3 · Cited by 168
Cited by
Discrete elements for 3D microfluidics
Bhargava, K. C., Thompson, B., & Malmstadt, N. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1414764111 · Cited by 298
Moshksayan, K., Kashaninejad, N., Warkiani, M. E., Lock, J. G., Moghadas, H., Firoozabadi, B., Saidi, M. S., & Nguyen, N.-T. (2018) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2018.01.223 · Cited by 267
Concentration gradient generation methods based on microfluidic systems
Wang, X., Liu, Z., & Pang, Y. (2017) · RSC Advances · doi:10.1039/c7ra04494a · Cited by 219
Lee, H.-B., Meeseepong, M., Trung, T. Q., Kim, B.-Y., & Lee, N.-E. (2020) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2020.112133 · Cited by 153
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Metadata
- Authors
- Oh, K. W., Lee, K., Ahn, B., & Furlani, E. P.
- Venue
- Lab Chip
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2012
- Volume
- 12
- Issue
- 3
- Pages
- 515-545
- ISSN
- 1473-0189 (ISSN-L)
- 1473-0197
- OpenAlex
- W2140974583
- Cited by
- 685
- References
- 4
- FWCI
- 12.95
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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